Inês Sequeira

2.1k citations
25 papers · 741 · h-index 14

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 5
    • RNA Research and Splicing 2
    • Muscle Physiology and Disorders 2
    • Skin and Cellular Biology Research 5
    • melanin and skin pigmentation 4

Inês Sequeira

22 papers receiving 736 citations

Peers

Inês Sequeira
Comparison fields: 5 of 84
  • Urology 219
  • Rehabilitation 110
  • Dermatology 132
  • Cell Biology 160
  • Genetics 55
Replace Karl Annusver with:
Karl Annusver Sweden
Chae Ho Lim United States
Eve Kandyba United States
Stéphanie B. Telerman United Kingdom
Elsa Treffeisen United States
Laura Grisanti United States
Kyosuke Asakawa Japan
Kevin Andrew Uy Gonzales Singapore
Hans-Jürgen Stark Germany
Nicholas Heitman United States
Inês Sequeira relative to Karl Annusver Sweden Karl Annusver's profile →
Citations per field
00.5×4.9×
Karl Annusver · 1×
Citations per year

Countries citing papers authored by Inês Sequeira

Since Specialization
Citations

This map shows the geographic impact of Inês Sequeira's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Inês Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Sequeira more than expected).

Fields of papers citing papers by Inês Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inês Sequeira. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Inês Sequeira. The network helps show where Inês Sequeira may publish in the future.

Co-authors

The 25 scholars most cited alongside Inês Sequeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inês Sequeira Line = papers co-authored together Inês Sequeira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020216
2 201764
3 201845
4 202043
5 201243
6 201043
7 201942
8 201840
9 202135
10 201634
11 200927
12 202223
13 201218
14 200517
15 202213
16 202113
17 20229
18 20186
19 20135
20 20212

About Inês Sequeira

Inês Sequeira is a scholar working on Molecular Biology, Cell Biology, Urology, Oncology and Genetics, having authored 25 papers that have together received 741 indexed citations. Recurring topics across this work include Hair Growth and Disorders (8 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Skin and Cellular Biology Research (5 papers), melanin and skin pigmentation (4 papers), Cancer Cells and Metastasis (2 papers), Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Urology (219 citations), Rehabilitation (110 citations), Dermatology (132 citations), Cell Biology (160 citations) and Genetics (55 citations). Inês Sequeira has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Jean‐François Nicolas, Fiona M. Watt, Rickard Sandberg, Simon Joost, Tina Jacob, Unnikrishnan Sivan, Karl Annusver, Tim Dalessandri, Xiaoyan Sun and Maria Kasper. Their work appears in journals such as Nature Communications, Development, Developmental Dynamics, Cell stem cell and Experimental Dermatology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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